Your connected object at the cutting edge of innovation!

Rtone can combine applied research with engineering to design your connected solution.

The IoT in constante evolution

R&D allows us to respond to new problems presented by our customers, starting from a blank page.

Close links with research and the academic world.

INNOVATION

We master the most innovative technologies.

PERFORMANCE

We integrate the best-performing solutions for your project.

CHALLENGE

We build a team able to address complex, innovative requirements.

INFORMATION

We guide you towards academic partners or request their expertise if the subject requires prior research work.

Projects with integrated R&D

La Grangette

Growing vegetables using artificial intelligence and hydroponics.

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Designing a set of image analysis tools to monitor plant growth.

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Local image processing thanks to edge computing.

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Machine learning to analyse growing times based on plant size and shape.

Subjects of our research projects

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Artificial intelligence

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Machine learning

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Software-defined radio (SDR)

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Cybersecurity in the IoT

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Visible light communication (VLC)

A word from Alexis

R&D & security leader

“Applied research at an innovative company like Rtone allows us to learn and discover new things all the time. We need to take full advantage of academic research and engineering in our everyday work to solve new problems. Collaborating with industrial and academic partners across Europe is fascinating. I also love sharing our knowledge and promoting Rtone’s expertise through presentations and technical or scientific articles.”

Alexis, R&D & security leader

Alexis Directeur R&D

1 mot d’Alexis

responsable R&D et sécurité

“La recherche appliquée dans une entreprise innovante comme Rtone nous permet d’apprendre et de découvrir en permanence de nouvelles choses. Nous devons au quotidien tirer le meilleur parti de la recherche académique et de l’ingénierie pour résoudre de nouvelles problématiques. Collaborer avec des partenaires industriels ou issus du milieu universitaire, à l’échelle européenne est également passionnant. J’aime également partager nos connaissances et faire rayonner l’expertise d’Rtone lors de présentations et d’articles techniques ou scientifiques.”

Alexis, responsable R&D et sécurité

Alexis Directeur R&D

Subjects and projects in progress

Recherche areas

New IoT applications: drones, augmented reality

Green tech

IoT Cybersecurity and Privacy

Deep Learning for wireless network

Visible Light Communications : Kiwink patent EP3364565

Software Defined Radio

Indoor Localization

Smart City Paradigms

Projects and news

ANACONDA : Automation of security validation and penetration testing for smart objects

SDR4IoT : Fingerprinting and authentication for smart objects using software-defined radio and machine learning

FUI PACLIDO : Lightweight cryptography for the IoT. Cyberattack detection using machine learning techniques

IoT 3D FlexLab : robotic platform for 3D-printing electronic circuits, usable with no knowledge of robotic programming and compatible with industrial environments.

Partners

Member of the H2020 SPARTA : cybersecurity consortium as an associate partner

I have a smart object project

Our publications :

MitM Attack Detection in BLE Networks

A. Duque, A. Lahmadi, N. Heraief, and J. Francq, “MitM Attack Detection in BLE Networks using Reconstruction and Classification Machine Learning Techniques” in Proceedings of the 2nd Workshop on Machine Learning for Cybersecurity MLCS’20, (Ghent, Belgium)

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LED-to-smartphone bidirectional communication

A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Decoding methods in LED-to-smartphone bidirectional communication for the IoT” in Proceedings of the 2018 Global LIFI Congress (GLC) GLC’18, (Paris, France)

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Unleashing the power of led- to-camera communications

A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Unleashing the power of led- to-camera communications for iot devices” in Proceedings of the 3rd Workshop on Visible Light Communication System VLCS’16, (New York, NY, USA)

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View all the publications

A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Analytical and simulation tools for optical camera communications” in Elsevier Computer Communications Vol. 120, pp. 52-62, July 2020

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A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Performance Evaluation of LED-to-Camera Communications” in Proceedings of the 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems MSWiM’19, (Miami Beach, FL, USA)

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A. Duque, R. Stanica, H. Rivano, C. Goursaud, and A. Desportes, “Poster: Insights into RGB-LED to Smartphone Communication” in Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks EWSN’18, (Madrid, Spain)

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A. Duque, R. Stanica, H. Rivano, and A. Desportes, “SeedLight: Hardening LED-to-Camera Communication with Random Linear Coding” in Proceedings of the 4th Workshop on Visible Light Communication System VLCS’17, (Snowbird, Utah, USA)

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A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Demo : Off-the-shelf bi-directional visible light communication module for IoT devices and smartphones” in Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks EWSN’17, (Uppsala, Sweden), 2017

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A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Demo: Unleashing the power of led- to-camera communications for iot devices” in Proceedings of the 3rd Workshop on Visible Light Communication Systems VLCS’16, (New York, NY, USA)

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A. Duque, “TensorFlow Lite im Vertical Farming” in Linux Magazin April 2020

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A. Duque, “Run TensorFlow models on edge devices” in ADMIN Magazine Issue 57, May 2020


A. Duque, “Machine Learning sur des objets connectés avec TensorFlow Lite pour l’agriculture verticale” in Linux Magazine France Issue 236, July 2020